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ORIGINAL RESEARCH article

Front. Neurosci., 13 September 2021
Sec. Brain Imaging Methods
Volume 15 - 2021 | https://doi.org/10.3389/fnins.2021.737785
This article is part of the Research Topic Machine Learning for Quantitative Neuroimaging Analysis View all 7 articles

RETRACTED: Multiple Sclerosis Recognition by Biorthogonal Wavelet Features and Fitness-Scaled Adaptive Genetic Algorithm

Retracted

A retraction of this article was approved in:

  1. Retraction: Multiple sclerosis recognition by biorthogonal wavelet features and fitness-scaled adaptive genetic algorithm

    1. Read retraction
\r\nShui-Hua Wang&#x;Shui-Hua Wang1†Xianwei Jiang&#x;Xianwei Jiang2†Yu-Dong Zhang*Yu-Dong Zhang3*
  • 1School of Mathematics and Actuarial Science, University of Leicester, Leicester, United Kingdom
  • 2Nanjing Normal University of Special Education, Nanjing, China
  • 3School of Informatics, University of Leicester, Leicester, United Kingdom

This article has been retracted. Please follow the link to the full retraction notice for details.

Citation: Wang S-H, Jiang X and Zhang Y-D (2021) Multiple Sclerosis Recognition by Biorthogonal Wavelet Features and Fitness-Scaled Adaptive Genetic Algorithm. Front. Neurosci. 15:737785. doi: 10.3389/fnins.2021.737785

Received: 07 July 2021; Accepted: 05 August 2021;
Published: 13 September 2021; Retracted: 27 December 2023.

Edited by:

Yuankai Huo, Vanderbilt University, United States

Reviewed by:

Pengpeng Pi, Henan Polytechnic University, China
Mingzhou Lu, Nanjing Agricultural University, China

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